Paradime is an AI-powered analytics engineering platform that automates the creation, execution and maintenance of data pipelines. It's got a code IDE, no-code dbt job scheduling, data quality tools and real-time analytics health monitoring. Paradime can integrate with tools like Snowflake and BigQuery and has features like cost autopilot and customizable dashboards, so it's a good option for optimizing analytics workflows.
Another good option is Athena, an AI-native analytics platform that's designed to speed up analytics workflows. Athena works in co-pilot and auto-pilot modes, learning workflows and taking actions on its own. It's got easy integration with Enterprise Data Warehouses, chat-based interfaces for querying and analyzing data, and support for infinitely extensible workflows with SQL and Python. That makes it a good option for companies that want to improve analytics without manual workflows.
For those who need to manage technical debt, Grit offers a tool that uses machine learning and static analysis to automate code cleanup and framework migrations. It works with multiple programming languages and integrates with GitHub, VS Code and the command line. Grit is a good option for high-velocity software teams that want to reduce maintenance time and speed up migrations.